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Proposed demo for Rodic · simulated data

Infrastructure / EPC · Agent governance

Seven project agents. One control plane. A named engineer on every decision.

A proposed design for how Rodic’s own Designer, Project Manager, Execution, Commercial, Procurement, Customer and Knowledge agents would be registered, governed, traced and priced by ThoughtShieldAI.

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Rodic Consultants (proposed tenant) · proposed, not deployed

Chief Engineer approval dialog with 8 of 8 evidence items reviewed (simulated data) Proposed demo for Rodic · simulated data
  1. TriggerGeotech report BH-27 lands
  2. BlockedCustomer Agent read, POL-07
  3. PendingChief Engineer review, 8 items
  4. ApprovedRev D issued with condition

The problem

Seven agents across the lifecycle need one set of rules.

When agents design, schedule, price and buy on a live project, each recommendation touches drawings, contracts and supplier data. Without a control plane, nobody can show which agent read what, which model it used, what it cost, or who approved the outcome.

  1. 01

    Lineage across agents

    A pile redesign touches the Designer, PM, Commercial, Procurement and Knowledge agents. The chain from borehole log to issued drawing has to be reconstructable.

  2. 02

    Least-privilege data access

    The Customer Agent should not read an unapproved cost figure. Supplier quotes and commercial data need per-agent scopes.

  3. 03

    Agentic FinOps in rupees

    Multi-agent workflows consume tokens across several models. Cost per decision, per project and per agent should be visible before month end.

How it works

Discover, initiate, govern, collaborate, monitor, then a human approves.

The end-to-end flow proposed for Rodic. The agents are proposed roles, not deployed systems.

  1. Discover · Atlas

    Registry of the seven agents with owners, permitted sources, approved models and bound policies.

  2. Initiate · Rodic agent

    A new geotech report triggers the AI Designer Agent to recommend a pile-cap change, with citations.

  3. Govern · Nexus

    Access checks per agent, citation freshness, approval routing by role and value thresholds.

  4. Collaborate · agents

    PM, Knowledge, Commercial and Procurement agents assess schedule, precedent, cost and long-lead items.

  5. Monitor · Pulse

    Tokens, ₹ cost and latency per agent for the whole multi-agent workflow.

  6. Approve & act

    The named Chief Engineer opens every evidence item, then approves, returns or adds a condition.

    Human step

The human approval

Er. Meenakshi Raghavan · Chief Engineer, Structures (fictional)

Approve stays locked until she has opened all eight evidence items. Her decision and note go to the hash-chained audit log.

The scenario

Pier P-27: from borehole log to issued drawing, every step traced.

Decision DEC-2417 on the fictional Metro Viaduct Corridor C2. Standards and clause references are illustrative.

  1. 01

    The agent estate at a glance

    Seven proposed agent cards with current task, approvals pending and month-to-date spend in ₹, plus where each acts across Plan & Design to Handover & Close.

    Rodic agent overview with seven proposed agent cards and lifecycle strip (simulated data) Proposed demo for Rodic · simulated data

  2. 02

    Atlas knows what the Designer Agent may touch

    The registry entry lists the owner and steward, permitted data sources with justification, approved model routes and bound policies.

    Atlas registry entry for the AI Designer Agent (simulated data) Proposed demo for Rodic · simulated data

  3. 03

    Nexus checks every agent, and blocks one

    Access checks run per agent, a superseded citation is replaced, approval routes to the Chief Engineer, and the Customer Agent is blocked from reading the unapproved ₹38.4 lakh figure.

    Nexus policy library, approval queue and access-check feed (simulated data) Proposed demo for Rodic · simulated data

  4. 04

    The Chief Engineer reviews the evidence pack

    Two extra piles, 4.5 m longer, a deeper cap. +6 days on the critical path, ₹38.4 lakh variation-eligible, steel liners at 6 weeks with an approved alternate at 3.5. Approve unlocks after 8 of 8 items are opened.

    Chief Engineer approval dialog with 8 of 8 evidence items reviewed (simulated data) Proposed demo for Rodic · simulated data

  5. 05

    Pulse prices the whole workflow

    2.34M tokens across five agents, ₹1,371 and 3 minutes 9 seconds end to end, with a latency Gantt per agent.

    Pulse agentic FinOps in rupees (simulated data) Proposed demo for Rodic · simulated data

  6. 06

    Approved with a condition, lineage complete

    Rev D is issued. The variation notice and the liner PO are queued for their own named approvers, and the trace shows source to outcome.

    Approved decision trace with lineage from source to outcome (simulated data) Proposed demo for Rodic · simulated data

Governance and lineage

From source data to outcome, every link kept.

The decision chain behind this scenario, as ThoughtShieldAI records it. Each step can be opened in the live demo.

  1. Source data

    Geotech report GT-C2-114 (BH-27), drawing MVC2-STR-PC-027 Rev C, load test ILT-P27-02

  2. AI recommendation

    AI Designer Agent: add 2 piles, extend length 4.5 m, deepen cap to 2.6 m

  3. Agent collaboration

    PM +6 days · Knowledge precedent · Commercial ₹38.4 lakh · Procurement liners 6 weeks (alt 3.5)

  4. Human approval

    Er. Meenakshi Raghavan, Chief Engineer, approves with a condition (POL-05)

  5. Execution outcome

    Rev D issued; variation notice and liner PO queued for their own approvers

Atlas

Proposed agent registry

Owner, steward, permitted sources, approved models and version history for each of the seven agents.

Nexus

Policies by role and value

Twelve illustrative policies: structural changes need the Chief Engineer, client communications carry no unapproved figures, citations must be current.

Pulse

Agentic FinOps in ₹

Month-to-date spend, forecast, budget and cost per decision by project, agent, workflow and model.

Security

Least privilege

A 7-agent by 10-source access matrix with justifications, DLP and residency events, and a hash-chained audit log.

Live demo

Play it yourself.

The full Rodic Agent Governance app runs right here, offline, with simulated data. Press Play demo for the guided scenario (about 74 seconds), or click around freely. Reset is in the top bar.

/demos/rodic-governance/overview Proposed demo for Rodic · simulated data Open in new tab (opens in a new tab)
Open the live demo

Designed for screens 1280 px and wider. On a phone it opens full screen.

Outcomes

What the scenario changed.

8 / 8
evidence items opened before Approve unlocked
₹1,371
cost of the full five-agent workflow
1
unapproved figure blocked from the Customer Agent
3.5 wk
alternate liner lead time surfaced, against 6 weeks

SimulatedSimulated outcomes from a proposed demo scenario. Rodic has not deployed these agents.

Questions buyers ask first

Has Rodic deployed these agents?

No. The seven agents are proposed roles, and this is a proposed demo with simulated data. Nothing here describes a live system at Rodic.

Does ThoughtShieldAI build the agents?

In this proposal Rodic builds and runs its own agents. ThoughtShieldAI is the control plane that registers, governs, traces, secures and prices them.

Where would the data stay?

The demo shows India-region model routes and a residency check on each access. Actual placements would be agreed with Rodic’s IT and security teams.

Are the standards and clauses real?

IS and IRC standards are named for realism, but clause numbers and contract references are marked illustrative throughout the demo.

See it on your own workflow.

A 30-minute walkthrough of the live demo, then a conversation about the agents, data and approvals in your environment.

Book a demo Open the live demo

Opens an email to hello@anvevoice.app · Proposed demo for Rodic · simulated data

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